RRepoGEO

REPOGEO REPORT · LITE

chiphuyen/lazynlp

Default branch master · commit dbf794f5 · scanned 6/22/2026, 3:02:01 PM

GitHub: 2,263 stars · 322 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface chiphuyen/lazynlp, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening statement to clarify NLP dataset focus

    Why:

    CURRENT
    A straightforward library that allows you to crawl, clean up, and deduplicate webpages to create massive monolingual datasets.
    COPY-PASTE FIX
    A straightforward Python library for NLP practitioners to efficiently crawl, clean, and deduplicate web pages, enabling the creation of massive monolingual datasets for training large language models.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • mediumhomepage#3
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    Add `https://chiphuyen.com/lazynlp/` (or the project's official documentation/website) to the repository's 'About' section as the homepage.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface chiphuyen/lazynlp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Scrapy
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Scrapy · recommended 1×
  2. Beautiful Soup 4 · recommended 1×
  3. Playwright · recommended 1×
  4. Selenium · recommended 1×
  5. newspaper3k · recommended 1×
  • CATEGORY QUERY
    How to efficiently scrape and clean web pages for massive NLP dataset creation?
    you: not recommended
    AI recommended (in order):
    1. Scrapy
    2. Beautiful Soup 4
    3. Playwright
    4. Selenium
    5. newspaper3k
    6. Tika
    7. Justext
    8. Trafilatura

    AI recommended 8 alternatives but never named chiphuyen/lazynlp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good tools for preparing large-scale text data for training language models?
    you: not recommended
    AI recommended (in order):
    1. Apache Spark
    2. Hugging Face Datasets
    3. Dask
    4. spaCy
    5. NLTK (Natural Language Toolkit)
    6. Dataiku DSS (Data Science Studio)
    7. Google Cloud Dataflow

    AI recommended 7 alternatives but never named chiphuyen/lazynlp. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of chiphuyen/lazynlp?
    pass
    AI did not name chiphuyen/lazynlp — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts chiphuyen/lazynlp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named chiphuyen/lazynlp explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo chiphuyen/lazynlp solve, and who is the primary audience?
    pass
    AI named chiphuyen/lazynlp explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of chiphuyen/lazynlp. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/chiphuyen/lazynlp.svg)](https://repogeo.com/en/r/chiphuyen/lazynlp)
HTML
<a href="https://repogeo.com/en/r/chiphuyen/lazynlp"><img src="https://repogeo.com/badge/chiphuyen/lazynlp.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

chiphuyen/lazynlp — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite